MATH1550 - Methods of Matrices and Linear Algebra - 2017/18

Course Year: 
2017/18
Term: 
1

Announcement


General Information

Lecturer

  • Li Chun Che
    • Office: LSB218
    • Email:

Teaching Assistant

  • Lai Yu Hin
    • Office: LSB228
    • Email:
  • Li Yan Lung
    • Office: AB1 505
    • Email:

Time and Venue

  • Lecture: Mo 2:30PM - 4:15PM SC L5, Th 4:30PM - 5:15PM LSB LT2
  • Tutorial: Th 5:30PM - 6:15PM LSB LT2

Course Description

The course emphasizes the computational aspect of linear algebra and applications to Statistics.

  • Geometric interpretation of linear equations, vector spaces.
  • Solving system of linear equations, reduced row echelon forms
  • linear dependence, linear combination, spanning set, basis
  • matrix arithmetics, inverse
  • subspace, kernel space, row space, range, rank
  • determinant
  • eigenvalue, eigenvector, diagonalizability
  • inner product, orthogonality, Gram-Schmidt orthogonalization process.
  • symmetric matrix
  • Lagrange interpolation formula
  • Least squares method


Lecture Notes


Assignments


Quizzes and Exams

  • See announcement section

Assessment Scheme

Tutorial Classwork, max 10pts. Classworks will be given during tutorial. Each classwork counts 1pt. There are about 12-13 tutorals and you need to attend at least 10 of the tutorials 10%
Midterm 1 Oct 12 Thu, 4:30-6:15 LSB LT2 (During usual lecture and tutorial) 17.5%
Midterm 2 Nov 9 Thu, 4:30-6:15 LSB LT2 (During usual lecture and tutorial) 17.5%
Final 55%


Assessment Policy

Last updated: December 07, 2017 19:58:59